Extending community trajectory analysis: New metrics and representation

Type Article
Date 2021-01
Language English
Author(s) Sturbois A.1, 2, 6, 7, de Cáceres M.3, Sánchez-Pinillos M.3, 4, 5, Schaal G.6, Gauthier O.6, Mao P. Le7, Ponsero A.2, 8, Desroy NicolasORCID7
Affiliation(s) 1 : Vivarmor Nature, 18 C rue du Sabot, 22440 Ploufragan, France
2 : Réserve naturelle nationale de la Baie de Saint-Brieuc, site de l’étoile, 22120 Hillion, France
3 : Joint Research Unit CTFC-AGROTECNIO, Crta. de St. Llorenç de Morunys a Port del Comte, km 2 25280 Solsona, Spain
4 : Centre for Forest Research, Department of Biological Sciences, Université du Québec à Montréal, Montreal, QC, H3C 3P8, Canada
5 : Faculty of Forestry and Environmental Management, University of New Brunswick, Fredericton, New Brunswick, E3B 5A3, Canada
6 : Laboratoire des Sciences de l'Environnement Marin, UMR CNRS 6539, Institut Universitaire Européen de la Mer, Rue Dumont d'Urville, 29280 Plouzané, France
7 : Ifremer, LER Bretagne Nord, CRESCO, 38 rue du Port Blanc, 35800 Dinard, France
8 : Saint-Brieuc Agglomération Baie d'Armor, 5 rue du 71ème RI, 22000 Saint-Brieuc, France
Source Ecological Modelling (0304-3800) (Elsevier BV), 2021-01 , Vol. 440 , P. 109400 (15p.)
DOI 10.1016/j.ecolmodel.2020.109400
WOS© Times Cited 7
Keyword(s) Ecological variability, Impact assessment, Initial state, Community dynamics, Trajectory analysis, Representation tools
Abstract

Ecological research focuses on the spatio-temporal patterns of ecosystems and communities. The recently proposed framework of Community Trajectory Analysis considers community dynamics as trajectories in a chosen space of community resemblance and utilizes geometrical properties of trajectories to compare and analyse temporal changes. Here, we extend the initial framework, which focused on consecutive trajectory segments, by considering additional metrics with respect to initial or baseline states. Addressing questions about community dynamics and more generally temporal and spatial ecological variability requires synthetic and efficient modes of representation. Hence, we propose a set of innovative maps, charts and trajectory roses to represent trajectory properties and complement the panel of traditional modes of representation used in community ecology. We use four case studies to highlight the complementarity and the ability of the new metrics and innovative figures to illustrate ecological trajectories and to facilitate their interpretation. Finally, we encourage ecologists skilled in multivariate analysis to integrate CTA into their toolbox in order to quantitatively evaluate spatio-temporal changes.

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